AndrewZhou924 / MC-GRA

Related projects: ⓘ

• tmlr-group / MC-GRA
  [ICML 2023] "On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation"
  ☆31Updated 10 months ago
• shenlei515 / VHL-paddle
  translation of VHL repo in paddle
  ☆25Updated last year
• warriors-30 / SFAR-paddle
  ☆24Updated last year
• LFhase / GIA-HAO
  [ICLR 2022] Understanding and Improving Graph Injection Attack by Promoting Unnoticeability
  ☆36Updated 9 months ago
• wujcan / GIF-torch
  ☆21Updated last year
• NUS-HPC-AI-Lab / GEOM
  Pytorch implementation of ICML-2024 "Navigating Complexity: Toward Lossless Graph Condensation via Expanding Window Matching"
  ☆22Updated 2 months ago
• LFhase / PAIR
  [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization
  ☆49Updated 5 months ago
• ZFancy / SFAT
  [ICLR 2023] "Combating Exacerbated Heterogeneity for Robust Models in Federated Learning"
  ☆28Updated last year
• LoadingByte / are-gnn-defenses-robust
  Adaptive evaluation reveals that most examined adversarial defenses for GNNs show no or only marginal improvement in robustness. (NeurIPS…
  ☆28Updated last year
• SongYYYY / KDD22-OODGAT
  This is the implementation of OODGAT from KDD'22: Learning on Graphs with Out-of-Distribution Nodes.
  ☆22Updated 2 years ago
• devnkong / GOAT
  Official implementation of GOAT model (ICML2023)
  ☆31Updated last year
• zaixizhang / GraphMI
  Official Pytorch implementation of IJCAI'21 paper "GraphMI: Extracting Private Graph Data from Graph Neural Networks"
  ☆13Updated 2 years ago
• ahxt / G2R
  [WWW2022] Geometric Graph Representation Learning via Maximizing Rate Reduction
  ☆25Updated 2 years ago
• jumxglhf / G2A2C
  Official repository for AAAI'23 paper: Let Graph be the Go Board: Gradient-free Node Injection Attack for Graph Neural Networks via Reinf…
  ☆20Updated last year
• kaize0409 / Awesome-Graph-OOD-Adaptation
  ☆20Updated 6 months ago
• TheaperDeng / GNN-Attack-InfMax
  Adversarial Attack on Graph Neural Networks as An Influence Maximization Problem
  ☆18Updated 2 years ago
• IRMBed / IRMBed
  This is the project for IRM methods
  ☆11Updated 3 years ago
• qitianwu / GraphOOD-GNNSafe
  The official implementation for ICLR23 paper "GNNSafe: Energy-based Out-of-Distribution Detection for Graph Neural Networks"
  ☆68Updated last year
• princeton-nlp / benign-data-breaks-safety
  ☆12Updated 3 months ago
• yongduosui / AIA
  [NeurIPS 2023] "Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift" by Yongduo Sui, Qitian Wu, Jiancan Wu, Q…
  ☆13Updated 10 months ago
• TaoShuchang / G-NIA
  G-NIA model from "Single Node Injection Attack against Graph Neural Networks" (CIKM 2021)
  ☆24Updated 2 years ago
• Mark12Ding / GNN-Practical-Attack
  Code for Towards More Practical Adversarial Attacks on Graph Neural Networks (NeurIPS 2020)
  ☆25Updated 2 years ago
• WtaoZhao / GraphGLOW
  PyTorch implementation of GraphGLOW: Universal and Generalizable Structure Learning for Graph Neural Networks
  ☆34Updated last year
• yushundong / EDITS
  Open source code for paper "EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks".
  ☆25Updated 2 years ago
• JinheonBaek / FED-PUB
  Official Code Repository for the paper - Personalized Subgraph Federated Learning (ICML 2023)
  ☆42Updated last year
• huaxiuyao / ATS
  ATS for NeurIPS 2021
  ☆21Updated 2 years ago
• PKU-ML / ContraNorm
  Official code for ICLR 2023 paper "ContraNorm: A Contrastive Learning Perspective on Oversmoothing and Beyond "
  ☆27Updated last year
• junkangwu / ADNCE
  [NeurIPS2023] Official code of "Understanding Contrastive Learning via Distributionally Robust Optimization"
  ☆36Updated 11 months ago
• RingBDStack / SGDD
  Code for SGDD
  ☆20Updated 11 months ago
• CRIPAC-DIG / AUG-MAE
  Code for AAAI'24 paper "Rethinking Graph Masked Autoencoders through Alignment and Uniformity”.
  ☆11Updated 3 months ago